3. Suppose L : R² → R² is a linear transformation. (a) If L(ej) = e + €2 and L(e,) = e¡ + e2, verify that e, + e, is an eigenvector of L. Find the corresponding eigenvalue. (b) Find the characteristic polynomial of L and then find another eigenvalue of L. (c) Find an eigenvector for the second eigenvalue you found in part (b).

Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter4: Eigenvalues And Eigenvectors
Section4.3: Eigenvalues And Eigenvectors Of N X N Matrices
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3. Suppose L : R² → R² is a linear transformation.
(a) If L(ej) = e + €2 and L(e,)
that e, + e, is an eigenvector of L. Find the
corresponding eigenvalue.
= e1 + e2, verify
(b) Find the characteristic polynomial of L and
then find another eigenvalue of L.
(c) Find an eigenvector for the second eigenvalue
you found in part (b).
Transcribed Image Text:3. Suppose L : R² → R² is a linear transformation. (a) If L(ej) = e + €2 and L(e,) that e, + e, is an eigenvector of L. Find the corresponding eigenvalue. = e1 + e2, verify (b) Find the characteristic polynomial of L and then find another eigenvalue of L. (c) Find an eigenvector for the second eigenvalue you found in part (b).
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